Intellectual property and the African continental free trade area: lessons and recommendations for the IP protocol
Bibliographic record
Abstract
Purpose This paper aims to explore the contours of the future intellectual property (IP) protocol of the African Continental Free Trade Area (AfCFTA) Agreement. Design/methodology/approach This paper frames the IP protocol within the architecture of the AfCFTA Agreement, meaning that it will follow the structure of other protocols and will be guided by the Agreement’s foundational principles and objectives. With the place, shape and form of the protocol so established, the paper considers the substantive aspects that ought to be addressed. It also considers provisions on technical assistance, capacity building and cooperation. Findings The paper finds that the Tripartite Free Trade Phase 2 IP agenda is a credible starting place, which must be broadened to better meet gendered challenges and the continent’s developmental priorities. This will entail including provisions on specific aspects enumerated in the paper, which must be aligned with provisions on technical assistance, capacity building and cooperation to enhance implementation. The best outcomes in the negotiation, adoption and implementation of the IP protocol will be achieved by an inclusive approach incorporating all national, sub-regional and regional institutions guided by coherent policy and coordinated to ensure efficiency in resources and capacity mobilisation. Originality/value To the best of the author’s knowledge, this is the first paper to formally consider both the architecture and substantive provisions of the future AfCFTA IP protocol with specific focus on gendered dimensions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".